System and method for displaying dynamic pharmacy information on a graphical user interface

Abstract

The following relates generally to pharmacy and/or merchandise pickup location selection. In some embodiments, factors are used to determine a pharmacy and/or merchandise pickup location selection for an individual. In this regard, the factors may include: whether the pharmacy and/or merchandise pickup location has a medication in stock; wait time at the pharmacy and/or merchandise pickup location; geographic distance to the individual; travel time from the location of the individual; urgency of filling a prescription; price of a prescription; whether another product or class of products available at the pharmacy and/or merchandise pickup location; and/or whether a locker is available at the pharmacy and/or merchandise pickup location. In some embodiments, Artificial Intelligence (AI) is used to create a model of pharmacy and/or merchandise pickup location selection for the individual.

What is claimed: 
     
         1 . A computer system for selecting a pharmacy, the computer system comprising one or more processors configured to:
 using a machine learning algorithm and an initial training dataset, build a pharmacy selection model of an individual, wherein the initial data training dataset comprises data regarding: (i) which pharmacy or pharmacies the individual has previously used; (ii) travel times to the previously used pharmacies; (iii) wait times at the previously used pharmacies; (iv) prices of medications the individual has purchased at the previously used pharmacies; (v) whether another product or class of products was available at the previously used pharmacies; and/or (vi) whether a locker was available at the previously used pharmacies, the machine learning algorithm trained by a majority vote technique;   receive: (i) an electronic indication of a medication for the individual, or (ii) a location of the individual; and   determine one or more pharmacies to be presented to the individual, the one or more pharmacies determined based on: (i) the pharmacy selection model of the individual, and (ii) the electronic indication of the medication or the location of the individual.   
     
     
         2 . The computer system of  claim 1 , wherein the one or more processors are further configured to:
 using the machine learning algorithm, continuously update the pharmacy selection model of the individual based on subsequent pharmacy use by the individual.   
     
     
         3 . The computer system of  claim 1 , wherein the one or more processors are configured to display, on a display, a map showing pharmacies of the determined plurality of pharmacies with:
 pharmacies with a short fill time displayed as green;   pharmacies with an intermediate fill time displayed as yellow; and   pharmacies with a long fill time displayed as red.   
     
     
         4 . The computer system of  claim 1 , wherein the one or more processors are further configured to:
 display the determined plurality of pharmacies as a list in an order according to: (i) a prescription fill time, and (ii) a travel time from the location of the individual.   
     
     
         5 . The computer system of  claim 1 , wherein the initial data training dataset comprises the data regarding (iii) wait times at the previously used pharmacies or (vi) whether the locker was available at the previously used pharmacies. 
     
     
         6 . A computer system for selecting a pharmacy, the computer system comprising one or more processors configured to:
 receive, from an individual, an indication of a medication;   determine a location of the individual;   use a machine learning algorithm to create a pharmacy selection model corresponding to the individual, the machine learning algorithm trained by a majority vote technique; and   use the pharmacy selection model to determine the first factor and the second factor;   identify a plurality of pharmacies based on a first factor; and   select a preferred pharmacy from the plurality of pharmacies based on a second factor.   
     
     
         7 . The computer system of  claim 6 , wherein the one or more processors are further configured to determine the first and second factors from a plurality of factors including:
 whether the pharmacy has a medication in stock;   wait time at the pharmacy;   geographic distance to the individual;   travel time from the location of the individual;   urgency of filling a prescription;   price of a prescription;   whether another product or class of products available at the pharmacy; and   whether a locker is available at the pharmacy.   
     
     
         8 . The computer system of  claim 6 , wherein the first factor is geographic distance from the location of the individual. 
     
     
         9 . The computer system of  claim 6 , wherein the second factor is a travel time including road traffic. 
     
     
         10 . The computer system of  claim 6 , wherein the second factor is a price of the indicated medication based on an insurance carrier of the individual. 
     
     
         11 . The computer system of  claim 6 , wherein:
 the second factor is an urgency of filling a prescription; and   the one or more processors are further configured to receive an input from the individual of an indication of the urgency as a time period.   
     
     
         12 . The computer system of  claim 6 , wherein the second factor is whether groceries are available at the pharmacy. 
     
     
         13 . The computer system of  claim 6 , wherein:
 the preferred pharmacy is a first preferred pharmacy; and   the one or more processors are further configured to:   select a second preferred pharmacy from the plurality of pharmacies based on the second factor; and   display the first and second preferred pharmacies to allow the individual to select between the first and second preferred pharmacies.   
     
     
         14 . The computer system of  claim 6 , wherein the one or more processors are further configured to:
 assign scores to each pharmacy of the plurality of pharmacies;   display the plurality of pharmacies on a map; and   color code each displayed pharmacy according to the assigned scores.   
     
     
         15 . The computer system of  claim 6 , wherein the one or more processors are further configured to:
 assign scores to each pharmacy of the plurality of pharmacies; and   display the plurality of pharmacies as a list in an order according to the assigned scores.   
     
     
         16 . The computer system of  claim 6 , wherein the one or more processors are further configured to:
 send a prescription corresponding to the indicated medication to the preferred pharmacy;   receive a locker assignment for storage of medication of the prescription; and   send the locker assignment to the individual.   
     
     
         17 . A computer system for selecting a pharmacy, the computer system comprising one or more processors configured to:
 use a machine learning algorithm to create a pharmacy selection model corresponding to an individual, the machine learning algorithm trained by a majority vote technique;   receive an indication of a medication;   determine a location of the individual;   identify a plurality of pharmacies;   determine: (i) a travel time from the location of the individual to each pharmacy of the plurality of pharmacies, or (ii) for each pharmacy of the plurality of pharmacies, a prescription fill time; and   select a preferred pharmacy from the plurality of pharmacies based on: (i) the pharmacy selection model corresponding to the individual, and (ii) the determined travel time or the determined prescription fill times.   
     
     
         18 . The computer system of  claim 18 , wherein the one or more processors are further configured to:
 receive, from the individual, an indication of importance between travel time and prescription fill time; and   select the preferred pharmacy further based on the indication of importance.   
     
     
         19 . The computer system of  claim 18 , wherein the determination of prescription fill time for each pharmacy of the plurality of pharmacies are based on inventory data of each pharmacy of the plurality of pharmacies. 
     
     
         20 . The computer system of  claim 18 , wherein the one or more processors are further configured to send, to the preferred pharmacy, a prescription corresponding to the indication of the medication.